Channel Estimation for Cell-Free Massive MIMO Using Conditional GAN

Channel estimation is a crucial step in communication, and its result will directly affect communication effects and efficiency, especially for cell-free massive MIMO. Cell-free massive MIMO makes channel estimation more frequent, and sending a large number of pilots greatly increases resource consumption. At the same time, the scale of base station antennas is also increasing day by day. Traditional channel estimation algorithms cannot guarantee the estimation effect when the number of pilots is small. This paper proposes a method for channel estimation using the conditional generation network after denoising the pilots using the N2V algorithm. The simulation results show that there is still a good channel estimation effect when the number of pilots is small and the antenna scale is large.